CN117669994B - Fixed asset optimization configuration system and method - Google Patents
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Abstract
The invention provides a fixed asset optimization configuration system and a method, which relate to the technical field of computers, wherein the system comprises: the application acquisition module is used for acquiring application information; the database construction module is used for constructing a fixed asset database according to the attribute information; the screening module is used for screening out fixed assets to be matched; the application matching coefficient module is used for determining application matching coefficients according to the design information, the field image and the application information; the benefit coefficient module is used for determining a benefit coefficient according to the geographic position information and the price information; the financial influence coefficient module is used for determining a financial influence coefficient according to the price information; the optimizing recommendation coefficient module is used for obtaining the optimizing recommendation coefficient of the fixed asset to be matched according to the matching coefficient, the benefit coefficient and the financial influence coefficient; and the optimal configuration report module is used for generating a fixed asset optimal configuration report according to the recommendation coefficient. According to the invention, the comprehensiveness and accuracy of the fixed asset optimization configuration can be improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a fixed asset optimization configuration system and method.
Background
In the related art, CN117291729a discloses a fixed asset investment management big data information system, which provides an informatization means based on big data for efficiently and safely managing fixed assets, improves convenience and safety of fixed asset management, and provides convenience for reasonable asset allocation and full balance of resources. In the fixed asset investment management big data information system, a fixed asset information acquisition subsystem is adopted to execute fixed asset information, and based on the actual distribution of the fixed asset, the fixed asset information is centrally managed and integrated in a multi-point acquisition and single-point convergence mode; the reasonable configuration of the fixed asset is realized through a resource configuration module subsystem; and then, the fixed asset management subsystem is used for realizing the clear information solidification of the fixed asset, and the fixed asset investment full-chain management based on multiple databases is realized based on the configuration information archiving and the management information recording of the fixed asset respectively.
CN104881763a discloses a fixed asset information management system, which comprises a personnel information management unit, a login unit, a fixed asset information management unit and a fixed asset information auditing management unit; the personnel information management unit is used for recording personnel basic information including personnel authority information; the fixed asset information management unit includes: the system comprises a fixed asset basic information management module, a fixed asset depreciation management module, a fixed asset inventory management module and a fixed asset maintenance management module; the fixed asset information auditing management unit includes: the system comprises a fixed asset newly-added management module, a fixed asset renting-in management module, a fixed asset renting-out management module and a fixed asset disposal management module. The system realizes dynamic and fine management of the fixed asset, is convenient for optimizing resource allocation and improving the use benefit of the fixed asset resource.
Based on the above related technology, the technical problem that the fixed asset cannot be efficiently and safely managed can be solved, however, when the fixed asset is managed, the related technology is difficult to accurately optimize the fixed asset in terms of the matching degree of the fixed asset and the production requirement of an enterprise, the economic benefit brought by the fixed asset, the influence of the fixed asset on the finance of the enterprise, and the like, that is, the fixed asset is difficult to comprehensively and accurately optimize the configuration.
The information disclosed in the background section of the application is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides a fixed asset optimal configuration system and a fixed asset optimal configuration method, which can solve the technical problem that the fixed asset is difficult to be optimally configured comprehensively and accurately.
According to a first aspect of the present invention, there is provided a fixed asset optimization configuration system comprising:
The application acquisition module is used for acquiring application information of the fixed asset;
The database construction module is used for constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
The screening module is used for screening out the fixed assets to be matched from the fixed asset database according to the use information of the fixed assets and the type information of the fixed assets to be selected;
the purpose matching coefficient module is used for determining the purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
the benefit coefficient module is used for determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched;
the financial influence coefficient module is used for determining the financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
The optimizing recommendation coefficient module is used for obtaining the fixed asset optimizing recommendation coefficient to be matched according to the application matching coefficient, the benefit coefficient and the financial influence coefficient;
and the optimal configuration report module is used for generating a fixed asset optimal configuration report according to the recommended coefficients of the plurality of fixed assets to be matched.
According to a second aspect of the present invention, there is provided a fixed asset optimization configuration method, comprising:
Acquiring the use information of the fixed asset;
Constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
screening out the fixed assets to be matched from the fixed asset database according to the purpose information of the fixed assets and the type information of the fixed assets to be selected;
Determining a purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched;
determining a financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
obtaining a fixed asset optimization recommendation coefficient to be matched according to the use matching coefficient, the benefit coefficient and the financial influence coefficient;
and generating a fixed asset optimization configuration report according to the recommendation coefficients of the plurality of fixed assets to be matched.
According to a third aspect of the present invention, there is provided a fixed asset optimization configuration device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored by the memory to perform the fixed asset optimization configuration method.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the fixed asset optimization configuration method.
The technical effects are as follows: according to the invention, the fixed asset optimization recommendation coefficient to be matched can be obtained through the matching coefficient, the benefit coefficient and the financial influence coefficient, and the optimal configuration report is generated, so that the matching property of the fixed asset and the production requirement of an enterprise, the benefit brought by the fixed asset and the influence of purchasing the fixed asset on the financial of the enterprise are fully considered when the fixed asset is optimally configured, and the comprehensiveness and the accuracy of the optimal configuration of the fixed asset are improved. When the purpose matching coefficient is determined, the purpose matching coefficient of the fixed asset to be matched can be determined according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in a preset time period and the identification result of the infrastructure required by production processing, and in the operation process, the matching degree of the yield of the fixed asset to be matched and the target yield and the matching degree of the fixed asset to be matched and the infrastructure required by production processing are combined, so that the accuracy, the comprehensiveness and the objectivity of the purpose matching coefficient are improved. When the benefit proportion is determined, the benefit proportion of the fixed assets to be matched can be determined according to the corresponding yield information of each transportation destination, the unit price of the product, the production cost, the unit transportation cost information, the use area of the fixed assets to be matched, the use area of the existing factories of enterprises, the yield information of the existing factories in a preset time period and the price information of the fixed assets to be matched, the influence of the geographic position and the price of the fixed assets to be matched on the overall benefit is fully considered, and the comprehensiveness and the accuracy of the benefit proportion are improved. When the benefit coefficient is determined, the benefit coefficient of the j-th fixed asset to be matched can be determined through the benefit proportion of the plurality of fixed assets to be matched, so that the benefit coefficient reflects the cost performance of the fixed asset to be matched for production activities in the operation process, and the accuracy and objectivity of the benefit coefficient are improved. When the financial influence coefficients are determined, the financial influence coefficients of the j-th fixed asset to be matched under the condition of the absence of the borrowing can be respectively determined, in the calculation process, the influence of the purchase of the fixed asset to be matched on cash flow of enterprises in a preset time period under the condition of the absence of the borrowing and the presence of the borrowing is fully considered, and the comprehensiveness and the accuracy of the financial influence coefficients are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed. Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the solutions of the prior art, the drawings which are necessary for the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments may be obtained from these drawings without inventive effort to a person skilled in the art,
FIG. 1 schematically illustrates a block diagram of a fixed asset optimization configuration system, in accordance with an embodiment of the invention;
fig. 2 schematically illustrates a flow diagram of a fixed asset optimization configuration method according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
FIG. 1 schematically illustrates a block diagram of a fixed asset optimization configuration system according to an embodiment of the invention, said system comprising:
The application acquisition module is used for acquiring application information of the fixed asset;
The database construction module is used for constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
The screening module is used for screening out the fixed assets to be matched from the fixed asset database according to the use information of the fixed assets and the type information of the fixed assets to be selected;
the purpose matching coefficient module is used for determining the purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
the benefit coefficient module is used for determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched;
the financial influence coefficient module is used for determining the financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
The optimizing recommendation coefficient module is used for obtaining the fixed asset optimizing recommendation coefficient to be matched according to the application matching coefficient, the benefit coefficient and the financial influence coefficient;
and the optimal configuration report module is used for generating a fixed asset optimal configuration report according to the recommended coefficients of the plurality of fixed assets to be matched.
According to the fixed asset optimization configuration system provided by the embodiment of the invention, the fixed asset optimization recommendation coefficient to be matched can be obtained through the matching coefficient, the benefit coefficient and the financial influence coefficient, and the optimization configuration report is further generated, so that the matching property of the fixed asset and the production requirement of an enterprise, the benefit brought by the fixed asset and the influence of purchasing the fixed asset on the financial of the enterprise are fully considered when the fixed asset is optimally configured, and the comprehensiveness and the accuracy of the fixed asset optimization configuration are improved.
According to one embodiment of the invention, the usage acquisition module is configured to acquire usage information of the fixed asset.
For example, according to the requirement of the enterprise, the usage information of the fixed asset to be purchased is determined, for example, if the enterprise has an existing factory and needs space for storage, the fixed asset is purchased as a warehouse, and the usage information of the fixed asset is storage. For another example, if the enterprise needs to expand production, it is necessary to purchase a fixed asset as a factory, and the information on the use of the fixed asset is production.
According to one embodiment of the invention, the database construction module is configured to construct a fixed asset database according to attribute information of a plurality of fixed assets to be selected, where the attribute information includes geographical location information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected, and field images of the fixed assets to be selected.
For example, an enterprise now needs a fixed asset to conduct a production campaign, a suburban area in the north of the city has an empty space available for building a plant to conduct the production campaign, and a suburban area in the south of the city has an empty plant available for direct use in conducting the production campaign, and the fixed asset corresponding to the usage information is the fixed asset to be selected. And constructing a fixed asset material library according to the geographic position, price, type, design information and field image of the fixed asset to be selected, so that enterprises can screen the fixed asset to be selected according to the requirements.
According to one embodiment of the invention, the screening module is used for screening the fixed assets to be matched from the fixed asset database according to the purpose information of the fixed assets and the type information of the fixed assets to be selected.
For example, according to the usage information of the fixed asset and the type information of the fixed asset to be selected, the fixed asset to be matched is screened out from the fixed asset database, for example, if the enterprise needs to purchase the fixed asset as an office place, the enterprise cannot purchase the fixed asset of the type such as a commercial residence, and after the fixed asset to be selected, which is not matched with the type information and the usage information, is removed, the remaining fixed asset to be selected is the fixed asset to be matched.
According to one embodiment of the invention, the usage matching coefficient module is configured to determine a usage matching coefficient of the fixed asset to be matched according to design information of the fixed asset to be matched, a field image of the fixed asset to be matched, and the usage information.
According to one embodiment of the present invention, determining the usage matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched, and the usage information includes: if the use information is production and processing use, determining target yield information in a preset time period according to the use information; determining the use area of the fixed asset to be matched according to the design information of the fixed asset to be matched; acquiring enterprise production information; determining the use area of the existing factory of the enterprise and the yield information of the existing factory in the preset time period according to the enterprise production information; determining the category of the infrastructure required by the production process according to the use information; performing identification processing on the field image of the fixed asset to be matched, and determining an identification result of the infrastructure required by production and processing in the field image of the fixed asset to be matched; and determining the purpose matching coefficient of the fixed asset to be matched according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in the preset time period and the identification result of the infrastructure required by the production processing.
For example, if an enterprise needs to purchase a fixed asset as a plant, it needs to determine the target plant output over a year; determining the use area of the fixed asset to be matched according to the design information of the fixed asset to be matched, namely determining how much area of the fixed asset to be matched can be used for production; acquiring enterprise production information, determining the use area of an existing factory of an enterprise and the yield information of the existing factory within one year according to the enterprise production information, and predicting the yield of the fixed asset to be matched according to the use area and the yield information of the existing factory; determining the type of the infrastructure required for production and processing according to the use information, namely, determining the type of the infrastructure required for production and processing as water supply, power supply and the like if the use information of the fixed asset is taken as a factory; identifying the field image of the fixed asset to be matched, and determining whether the fixed asset to be matched has the required infrastructure or not; and determining the purpose matching coefficient according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in one year and the identification result of the infrastructure required by the production and processing.
According to one embodiment of the present invention, determining the usage matching coefficient of the fixed asset to be matched according to the target yield information, the usage area of the fixed asset to be matched, the usage area of the existing plant, the yield information of the existing plant in the preset time period, and the identification result of the infrastructure required for the production process includes: determining a usage matching factor for the j-th fixed asset to be matched according to equation (1)，
（1）
Wherein,For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>For the use area of the j-th fixed asset to be matched,/>For target yield information,/>Class total number of infrastructure required for production process,/>And i is less than or equal to n, and i and n are positive integers, wherein i is less than or equal to n, which is the number of facility categories matched with the categories of the infrastructure required by the production and processing in the identification result corresponding to the j-th fixed asset to be matched.
In accordance with one embodiment of the present invention,For the total production information of all existing plants in a preset period of time,/>For the total usage area of all existing fixed assets,/>Is the ratio of the total yield to the total area used, i.e./>, the yield per unit area of the existing plant in a preset period of timeFor the yield of the j-th fixed asset to be matched predicted from the yield per unit area of the existing plant,/>As the difference between the actual yield and the target yield,/>For the ratio of the difference between the actual yield and the target yield to the target yield, the larger the ratio, the larger the difference between the actual yield and the target yield, the lower the usage matching coefficient of the fixed asset to be matched,/>For the matching degree of the fixed asset to be matched and the target yield, the higher the matching degree is, the closer the yield of the fixed asset to be matched and the target yield are, and the larger the usage matching coefficient is. /(I)For the infrastructure category of the fixed asset to be matched, the ratio of the number of the infrastructure categories matched with the category of the infrastructure required by the production process to the total number of the categories of the infrastructure required by the production process, namely, the matching degree of the fixed asset to be matched with the infrastructure required by the production process is higher, the more the matching degree is, the more the fixed asset to be matched is suitable for the production process, and the higher the use matching coefficient is; multiplying the matching degree of the fixed asset to be matched and the target yield by the matching degree of the fixed asset to be matched and the infrastructure required by the production processing to obtain the purpose matching coefficient of the fixed asset to be matched, wherein the larger the purpose matching coefficient is, the more the purpose of the fixed asset to be matched is matched with the purpose of the production processing.
In this way, the usage matching coefficient of the fixed asset to be matched can be determined according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in a preset time period and the identification result of the infrastructure required by production processing, and in the operation process, the matching degree of the yield of the fixed asset to be matched and the target yield and the matching degree of the fixed asset to be matched and the infrastructure required by production processing are combined, so that the accuracy, the comprehensiveness and the objectivity of the usage matching coefficient are improved.
According to one embodiment of the invention, the benefit coefficient module is used for determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched.
According to one embodiment of the invention, determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched comprises the following steps: acquiring a transportation destination set of finished products of an existing factory of an enterprise; determining yield information corresponding to each transport destination in the transport destination set; obtaining the unit price of the product and the production cost of a single product of the existing factory of the enterprise; determining unit transportation cost information between the j-th fixed asset to be matched and each transportation destination according to the geographic position information of the j-th fixed asset to be matched; determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched corresponding to each transportation destination; and determining the benefit coefficient of the j-th fixed asset to be matched according to the benefit proportion of the plurality of fixed assets to be matched.
For example, a collection of transportation destinations of finished products of an existing factory of an enterprise is obtained, namely, the positions of various clients of the enterprise are determined; the output information corresponding to each transportation destination is the number of the finished products required by each customer; determining the production cost and price of a single product, and determining gross profit according to the price and the production cost; according to the geographical position information of the fixed assets to be matched, unit transportation cost information required by the transportation of the products can be determined; determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in one year and the price information of the j-th fixed asset to be matched corresponding to each transportation destination; and determining the cost performance of each fixed asset to be matched as the benefit coefficient of each fixed asset to be matched according to the benefit proportion of the plurality of fixed assets to be matched.
According to one embodiment of the present invention, determining the benefit ratio of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched corresponding to each transportation destination includes: determining a benefit ratio of the j-th fixed asset to be matched according to formula (2),
（2）
Wherein,Monovalent for the product,/>For the production cost,/>For unit shipping cost information between the j-th fixed asset to be matched and the k-th shipping destination,/>For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>And i is equal to or less than n, k is equal to or less than m, and i, n, k and m are positive integers.
In accordance with one embodiment of the present invention,Is the gross profit of single product,/>For the output per unit area of the existing factory in the preset time period,/>For the yield of the j-th fixed asset to be matched predicted from the yield per unit area of the existing plant,/>Total gross profit of finished products produced for j-th fixed asset to be matched,/>For the ratio of the number of products required by the kth customer to the number of goods required by all customers,For the freight required for the finished product to be shipped to the kth customer,For the total freight of the finished product produced for the j-th to-be-matched fixed asset,For the total profit of the products produced by the j-th fixed asset to be matched,/>The ratio of the total profit of the product produced for the fixed asset to be matched to the price information of the fixed asset to be matched, namely, the benefit ratio of the fixed asset to be matched is larger, the benefit which can be produced by the fixed asset to be matched of unit price is higher, and the benefit ratio/>, of the j-th fixed asset to be matched is determined based on the ratioThe benefit ratio can be made to reflect the benefit brought by the price per unit of the fixed asset to be matched.
By the method, the benefit proportion of the fixed assets to be matched can be determined according to the corresponding yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the fixed assets to be matched, the use area of the existing factories of enterprises, the yield information of the existing factories in a preset time period and the price information of the fixed assets to be matched, the influence of the geographic position and the price of the fixed assets to be matched on the overall benefit is fully considered, and the comprehensiveness and the accuracy of the benefit proportion are improved.
According to one embodiment of the invention, determining the benefit coefficient of the j-th fixed asset to be matched according to the benefit proportion of the plurality of fixed assets to be matched comprises: determining a benefit coefficient of the j-th fixed asset to be matched according to formula (3)，
（3）
Wherein,And the benefit proportion of the j-th fixed assets to be matched is that N is the number of the fixed assets to be matched, j is less than or equal to N, and j and N are positive integers.
In accordance with one embodiment of the present invention,，/>For the average value of the benefit proportion of N fixed assets to be matched,/>For the ratio of the benefit ratio of the j-th to-be-matched fixed asset to the average of the benefit ratios of the N-th to-be-matched fixed asset, i.e., the benefit coefficient of the j-th to-be-matched fixed asset, the cost performance of the j-th to-be-matched fixed asset in all to-be-matched fixed assets can be represented, the greater the benefit coefficient of the to-be-matched fixed asset, the greater the cost performance of the to-be-matched fixed asset for production activities, and the benefit coefficient/>, based on this, is determinedThe fixed assets to be matched with highest deterministic price ratio are convenient.
By the method, the benefit coefficient of the j-th fixed asset to be matched can be determined according to the benefit proportion of the plurality of fixed assets to be matched, so that the benefit coefficient reflects the cost performance of the fixed asset to be matched for production activities in the operation process, and the accuracy and objectivity of the benefit coefficient are improved.
According to one embodiment of the invention, the financial influence coefficient module is configured to determine a financial influence coefficient of the fixed asset to be matched according to price information of the fixed asset to be matched.
According to one embodiment of the invention, determining the financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched comprises: acquiring financial information of an enterprise in a preset time period; according to the financial information, determining cash inflow of enterprises in a preset time period and cash total of the enterprises; determining the total amount of the transportation cost in a preset time period according to the financial information; and determining the financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the cash total amount of the enterprise, the total amount of transportation cost in the preset time period, the yield information corresponding to each transportation destination, the unit price of the product, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched.
For example, acquiring financial information of an enterprise over the course of a year; determining cash inflow of enterprises in one year, current cash total of the enterprises and total transport cost in one year according to the financial information; and determining the financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in one year, the current cash total amount of enterprises, the total amount of transportation cost in one year, the yield information corresponding to each transportation destination, the unit price of products, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factories of the enterprises, the yield information of the existing factories in one year and the price information of the j-th fixed asset to be matched.
According to one embodiment of the present invention, determining a financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the enterprise cash amount, the total amount of transportation costs in the preset time period, the yield information corresponding to each transportation destination, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the enterprise existing plant, the yield information of the existing plant in the preset time period, and the price information of the j-th fixed asset to be matched, includes: determining the financial influence coefficient of the j-th fixed asset to be matched according to equation (4),
（4）
Wherein,For the cash amount of enterprises,/>For cash inflow in a preset period of time,/>For the sum of transport charges within a preset period of time,/>Monovalent for the product,/>For the production cost,/>For unit shipping cost information between the j-th fixed asset to be matched and the k-th shipping destination,/>For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>And r is the lending interest rate, i is less than or equal to n, k is less than or equal to m, and i, n, k and m are all positive integers.
In accordance with one embodiment of the present invention, in equation (4), the following two cases can be expressed by the form of a conditional function whenWhen the j-th fixed asset to be matched has price information larger than the cash total amount of the enterprise, the cash total amount of the enterprise is insufficient to purchase the fixed asset to be matched, and lending is needed. At this time, the value of the conditional function is。
According to one embodiment of the invention, whenWhen the price information of the j-th fixed asset to be matched is less than or equal to the cash total amount of the enterprise, the value of the condition function is/>, wherein the value indicates that the cash total amount of the enterprise can purchase the fixed asset to be matched。
According to one embodiment of the invention, whenTime,/>As a result of the bristled aspect of the individual products,For the total gross profit of all products produced by the existing plants within a preset period of time,For the total profit of all the products produced by the existing plants during the preset time period,For a predetermined period of time the ratio of the cash inflow to the total profit of the existing plant,For the total gross profit of the product produced by the j-th fixed asset to be matched,Total shipping cost required to ship the product produced for the j-th fixed asset to be matched to customer premises,/>For interest generated by the loan,For the product of the ratio of the cash inflow to the total profit of the existing plant and the total profit of the fixed asset to be matched, i.e., the expected cash inflow after purchasing the fixed asset to be matched,For total cash inflow, i.e. the sum of the cash inflow from an existing plant and the expected cash inflow of the fixed asset to be matched,/>The difference between the total cash inflow and interest generated by the loan, which is the cash flow in the preset time period,For the ratio of cash flow to the price information of the j-th fixed asset to be matched in the preset time period, namely, the financial influence coefficient of the j-th fixed asset to be matched under the lending condition, the larger the financial influence coefficient is, the smaller the financial influence of the purchase of the fixed asset to be matched on an enterprise is, namely, the more favorable the purchase of the fixed asset to be matched is.
According to one embodiment of the invention, whenIn the time-course of which the first and second contact surfaces,In the absence of a debit, cash flow during a predetermined period of time,The ratio of cash flow to the price information of the j-th fixed asset to be matched in a preset time period under the condition of no borrowing, namely, the financial influence coefficient of the j-th fixed asset to be matched under the condition of no borrowing is larger, and the financial influence of purchasing the fixed asset to be matched on enterprises is smaller.
By the method, the financial influence coefficient of the j-th fixed asset to be matched under the condition of the absence of the borrowing can be determined, the influence of the purchase of the fixed asset to be matched on cash flow of enterprises in a preset time period under the condition of the absence of the borrowing and the presence of the borrowing is fully considered in the calculation process, and the comprehensiveness and the accuracy of the financial influence coefficient are improved.
According to one embodiment of the invention, the optimization recommendation coefficient module is used for obtaining the fixed asset optimization recommendation coefficient to be matched according to the usage matching coefficient, the benefit coefficient and the financial influence coefficient.
For example, the optimization recommendation coefficients of the fixed assets to be matched are obtained by multiplying the matching coefficients, the benefit coefficients and the financial influence coefficients of the fixed assets to be matched.
According to one embodiment of the invention, in the optimal configuration report module, the optimal configuration report module is used for generating the optimal configuration report of the fixed asset according to the recommended coefficients of the plurality of fixed assets to be matched.
For example, in the optimal configuration report module, the fixed asset to be matched with the largest recommendation coefficient is purchased first, and according to the recommendation coefficient of the fixed asset to be matched, the customer closest to the fixed asset to be matched, the profit of the product produced by the fixed asset to be matched, whether the infrastructure of the fixed asset to be matched is perfect, and the like can be determined.
According to the fixed asset optimization configuration system provided by the embodiment of the invention, the fixed asset optimization recommendation coefficient to be matched can be obtained through the matching coefficient, the benefit coefficient and the financial influence coefficient, and the optimization configuration report is further generated, so that the matching property of the fixed asset and the production requirement of an enterprise, the benefit brought by the fixed asset and the influence of purchasing the fixed asset on the financial of the enterprise are fully considered when the fixed asset is optimally configured, and the comprehensiveness and the accuracy of the fixed asset optimization configuration are improved. When the purpose matching coefficient is determined, the purpose matching coefficient of the fixed asset to be matched can be determined according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in a preset time period and the identification result of the infrastructure required by production processing, and in the operation process, the matching degree of the yield of the fixed asset to be matched and the target yield and the matching degree of the fixed asset to be matched and the infrastructure required by production processing are combined, so that the accuracy, the comprehensiveness and the objectivity of the purpose matching coefficient are improved. When the benefit proportion is determined, the benefit proportion of the fixed assets to be matched can be determined according to the corresponding yield information of each transportation destination, the unit price of the product, the production cost, the unit transportation cost information, the use area of the fixed assets to be matched, the use area of the existing factories of enterprises, the yield information of the existing factories in a preset time period and the price information of the fixed assets to be matched, the influence of the geographic position and the price of the fixed assets to be matched on the overall benefit is fully considered, and the comprehensiveness and the accuracy of the benefit proportion are improved. When the benefit coefficient is determined, the benefit coefficient of the j-th fixed asset to be matched can be determined through the benefit proportion of the plurality of fixed assets to be matched, so that the benefit coefficient reflects the cost performance of the fixed asset to be matched for production activities in the operation process, and the accuracy and objectivity of the benefit coefficient are improved. When the financial influence coefficients are determined, the financial influence coefficients of the j-th fixed asset to be matched under the condition of the absence of the borrowing can be respectively determined, in the calculation process, the influence of the purchase of the fixed asset to be matched on cash flow of enterprises in a preset time period under the condition of the absence of the borrowing and the presence of the borrowing is fully considered, and the comprehensiveness and the accuracy of the financial influence coefficients are improved.
FIG. 2 schematically illustrates a flow diagram of a fixed asset optimization configuration method according to an embodiment of the invention, the method comprising:
Step S101, acquiring the use information of the fixed asset;
Step S102, constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
Step S103, screening out the fixed assets to be matched from the fixed asset database according to the use information of the fixed assets and the type information of the fixed assets to be selected;
step S104, determining the purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
Step S105, determining benefit coefficients of the fixed assets to be matched according to the geographic position information of the fixed assets to be matched and the price information of the fixed assets to be matched;
step S106, determining the financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
Step S107, obtaining a fixed asset optimization recommendation coefficient to be matched according to the purpose matching coefficient, the benefit coefficient and the financial influence coefficient;
and S108, generating a fixed asset optimization configuration report according to the recommendation coefficients of the plurality of fixed assets to be matched.
According to an embodiment of the present invention, there is provided a fixed asset optimization configuration apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored by the memory to perform the fixed asset optimization configuration method.
According to one embodiment of the present invention, a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the fixed asset optimization configuration method.
The present invention may be a method, apparatus, system, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for performing various aspects of the present invention.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from the principles described.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (3)
1. A fixed asset optimization configuration system, comprising:
The application acquisition module is used for acquiring application information of the fixed asset;
The database construction module is used for constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
The screening module is used for screening out the fixed assets to be matched from the fixed asset database according to the use information of the fixed assets and the type information of the fixed assets to be selected;
the purpose matching coefficient module is used for determining the purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
the benefit coefficient module is used for determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched;
the financial influence coefficient module is used for determining the financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
The optimizing recommendation coefficient module is used for obtaining the fixed asset optimizing recommendation coefficient to be matched according to the application matching coefficient, the benefit coefficient and the financial influence coefficient;
The optimizing configuration report module is used for generating a fixed asset optimizing configuration report according to the recommendation coefficients of the plurality of fixed assets to be matched;
Determining the usage matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the usage information, wherein the usage matching coefficient comprises the following steps:
if the use information is production and processing use, determining target yield information in a preset time period according to the use information;
determining the use area of the fixed asset to be matched according to the design information of the fixed asset to be matched;
acquiring enterprise production information;
Determining the use area of the existing factory of the enterprise and the yield information of the existing factory in the preset time period according to the enterprise production information;
Determining the category of the infrastructure required by the production process according to the use information;
Performing identification processing on the field image of the fixed asset to be matched, and determining an identification result of the infrastructure required by production and processing in the field image of the fixed asset to be matched;
determining a purpose matching coefficient of the fixed asset to be matched according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in the preset time period and the identification result of the infrastructure required by the production processing;
determining a usage matching coefficient of the fixed asset to be matched according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing plant, the yield information of the existing plant in the preset time period and the identification result of the infrastructure required by the production processing, wherein the usage matching coefficient comprises the following steps:
According to the formula
Determining usage matching coefficients of jth fixed asset to be matchedWherein/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>For the use area of the j-th fixed asset to be matched,/>For target yield information,/>Class total number of infrastructure required for production process,/>The number of facility categories matched with the categories of the infrastructure required by the production and processing in the identification result corresponding to the j-th fixed asset to be matched is equal to or less than n, and both i and n are positive integers;
Determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched, including:
acquiring a transportation destination set of finished products of an existing factory of an enterprise;
Determining yield information corresponding to each transport destination in the transport destination set;
obtaining the unit price of the product and the production cost of a single product of the existing factory of the enterprise;
Determining unit transportation cost information between the j-th fixed asset to be matched and each transportation destination according to the geographic position information of the j-th fixed asset to be matched;
determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched corresponding to each transportation destination;
according to the benefit proportion of the plurality of fixed assets to be matched, determining the benefit coefficient of the j-th fixed asset to be matched;
Determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched, wherein the method comprises the following steps:
According to the formula
Determining benefit proportion of j-th fixed asset to be matchedWherein/>Monovalent for the product,/>For the production cost,/>For unit shipping cost information between the jth fixed asset to be matched and the kth shipping destination,For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>The use area of the j-th fixed asset to be matched is i.ltoreq.n, k.ltoreq.m, and i, n, k and m are all positive integers;
According to the benefit proportion of a plurality of fixed assets to be matched, determining the benefit coefficient of the j-th fixed asset to be matched comprises the following steps:
According to the formula
Determining a benefit coefficient of a j-th fixed asset to be matchedWherein/>The benefit proportion of the j-th fixed assets to be matched is that N is the number of the fixed assets to be matched, j is less than or equal to N, and j and N are positive integers;
Determining a financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched, including:
Acquiring financial information of an enterprise in a preset time period;
According to the financial information, determining cash inflow of enterprises in a preset time period and cash total of the enterprises;
determining the total amount of the transportation cost in a preset time period according to the financial information;
Determining a financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the cash total amount of the enterprise, the total amount of transportation cost in the preset time period, the yield information corresponding to each transportation destination, the unit price of the product, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched;
determining a financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the enterprise cash total amount, the total transport cost in the preset time period, the yield information corresponding to each transport destination, the product unit price, the production cost, the unit transport cost information, the use area of the j-th fixed asset to be matched, the use area of an existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched, wherein the method comprises the following steps:
According to the formula
Determining a financial impact coefficient of a j-th fixed asset to be matchedWherein/>For the cash amount of enterprises,/>For cash inflow in a preset period of time,/>For the sum of transport charges within a preset period of time,/>Monovalent for the product,For the production cost,/>For unit shipping cost information between the j-th fixed asset to be matched and the k-th shipping destination,/>For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>And r is the lending interest rate, i is less than or equal to n, k is less than or equal to m, and i, n, k and m are all positive integers.
2. A method for optimizing configuration of a fixed asset, comprising:
Acquiring the use information of the fixed asset;
Constructing a fixed asset database according to attribute information of a plurality of fixed assets to be selected, wherein the attribute information comprises geographic position information of the fixed assets to be selected, price information of the fixed assets to be selected, type information of the fixed assets to be selected, design information of the fixed assets to be selected and field images of the fixed assets to be selected;
screening out the fixed assets to be matched from the fixed asset database according to the purpose information of the fixed assets and the type information of the fixed assets to be selected;
Determining a purpose matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the purpose information;
determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched;
determining a financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched;
obtaining a fixed asset optimization recommendation coefficient to be matched according to the use matching coefficient, the benefit coefficient and the financial influence coefficient;
generating a fixed asset optimization configuration report according to the recommendation coefficients of a plurality of fixed assets to be matched;
Determining the usage matching coefficient of the fixed asset to be matched according to the design information of the fixed asset to be matched, the field image of the fixed asset to be matched and the usage information, wherein the usage matching coefficient comprises the following steps:
if the use information is production and processing use, determining target yield information in a preset time period according to the use information;
determining the use area of the fixed asset to be matched according to the design information of the fixed asset to be matched;
acquiring enterprise production information;
Determining the use area of the existing factory of the enterprise and the yield information of the existing factory in the preset time period according to the enterprise production information;
Determining the category of the infrastructure required by the production process according to the use information;
Performing identification processing on the field image of the fixed asset to be matched, and determining an identification result of the infrastructure required by production and processing in the field image of the fixed asset to be matched;
determining a purpose matching coefficient of the fixed asset to be matched according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing factory, the yield information of the existing factory in the preset time period and the identification result of the infrastructure required by the production processing;
determining a usage matching coefficient of the fixed asset to be matched according to the target yield information, the use area of the fixed asset to be matched, the use area of the existing plant, the yield information of the existing plant in the preset time period and the identification result of the infrastructure required by the production processing, wherein the usage matching coefficient comprises the following steps:
According to the formula
Determining usage matching coefficients of jth fixed asset to be matchedWherein/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>For the use area of the j-th fixed asset to be matched,/>For target yield information,/>Class total number of infrastructure required for production process,/>The number of facility categories matched with the categories of the infrastructure required by the production and processing in the identification result corresponding to the j-th fixed asset to be matched is equal to or less than n, and both i and n are positive integers;
Determining the benefit coefficient of the fixed asset to be matched according to the geographic position information of the fixed asset to be matched and the price information of the fixed asset to be matched, including:
acquiring a transportation destination set of finished products of an existing factory of an enterprise;
Determining yield information corresponding to each transport destination in the transport destination set;
obtaining the unit price of the product and the production cost of a single product of the existing factory of the enterprise;
Determining unit transportation cost information between the j-th fixed asset to be matched and each transportation destination according to the geographic position information of the j-th fixed asset to be matched;
determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched corresponding to each transportation destination;
according to the benefit proportion of the plurality of fixed assets to be matched, determining the benefit coefficient of the j-th fixed asset to be matched;
Determining the benefit proportion of the j-th fixed asset to be matched according to the yield information, the product unit price, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched, wherein the method comprises the following steps:
According to the formula
Determining benefit proportion of j-th fixed asset to be matchedWherein/>Monovalent for the product,/>For the production cost,/>For unit shipping cost information between the jth fixed asset to be matched and the kth shipping destination,For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>The use area of the j-th fixed asset to be matched is i.ltoreq.n, k.ltoreq.m, and i, n, k and m are all positive integers;
According to the benefit proportion of a plurality of fixed assets to be matched, determining the benefit coefficient of the j-th fixed asset to be matched comprises the following steps:
According to the formula
Determining a benefit coefficient of a j-th fixed asset to be matchedWherein/>The benefit proportion of the j-th fixed assets to be matched is that N is the number of the fixed assets to be matched, j is less than or equal to N, and j and N are positive integers;
Determining a financial influence coefficient of the fixed asset to be matched according to the price information of the fixed asset to be matched, including:
Acquiring financial information of an enterprise in a preset time period;
According to the financial information, determining cash inflow of enterprises in a preset time period and cash total of the enterprises;
determining the total amount of the transportation cost in a preset time period according to the financial information;
Determining a financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the cash total amount of the enterprise, the total amount of transportation cost in the preset time period, the yield information corresponding to each transportation destination, the unit price of the product, the production cost, the unit transportation cost information, the use area of the j-th fixed asset to be matched, the use area of the existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched;
determining a financial influence coefficient of the j-th fixed asset to be matched according to the cash inflow in the preset time period, the enterprise cash total amount, the total transport cost in the preset time period, the yield information corresponding to each transport destination, the product unit price, the production cost, the unit transport cost information, the use area of the j-th fixed asset to be matched, the use area of an existing factory of the enterprise, the yield information of the existing factory in the preset time period and the price information of the j-th fixed asset to be matched, wherein the method comprises the following steps:
According to the formula
Determining a financial impact coefficient of a j-th fixed asset to be matchedWherein/>For the cash amount of enterprises,/>For cash inflow in a preset period of time,/>For the sum of transport charges within a preset period of time,/>Monovalent for the product,For the production cost,/>For unit shipping cost information between the j-th fixed asset to be matched and the k-th shipping destination,/>For yield information corresponding to the kth transportation destination, m is the number of transportation destinations,/>Price information for j-th fixed asset to be matched,/>For the production information of the ith existing plant within the preset time period,/>For the i-th existing plant area of use, n is the number of existing plants,/>And r is the lending interest rate, i is less than or equal to n, k is less than or equal to m, and i, n, k and m are all positive integers.
3. A fixed asset optimization configuration device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the fixed asset optimization configuration method of claim 2.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881763A (en) * | 2015-06-30 | 2015-09-02 | 山东钢铁股份有限公司 | Fixed-asset information management system |
| CN106611286A (en) * | 2016-08-11 | 2017-05-03 | 四川用联信息技术有限公司 | Dynamic allocation algorithm of service resources in cloud manufacturing |
| CN111292012A (en) * | 2020-03-09 | 2020-06-16 | 山东浪潮通软信息科技有限公司 | Sharing management method, system and system construction method supporting fixed assets |
| CN113487118A (en) * | 2021-08-20 | 2021-10-08 | 广东电网有限责任公司 | Asset allocation system and method based on finance |
| JP7043691B1 (en) * | 2021-06-09 | 2022-03-30 | 株式会社ゼロボード | Information processing equipment |
| CN117035687A (en) * | 2023-09-14 | 2023-11-10 | 国家电网有限公司华北分部 | Power grid business fixed asset process configuration method, system and computer storage medium |
| CN117291729A (en) * | 2023-11-27 | 2023-12-26 | 深圳市易图资讯股份有限公司 | Fixed asset investment management big data information system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160092892A1 (en) * | 2012-09-10 | 2016-03-31 | Profit Velocity Solutions, Llc | Computer-Aided System for Improving Return on Assets |
-
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- 2024-01-31 CN CN202410135712.8A patent/CN117669994B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881763A (en) * | 2015-06-30 | 2015-09-02 | 山东钢铁股份有限公司 | Fixed-asset information management system |
| CN106611286A (en) * | 2016-08-11 | 2017-05-03 | 四川用联信息技术有限公司 | Dynamic allocation algorithm of service resources in cloud manufacturing |
| CN111292012A (en) * | 2020-03-09 | 2020-06-16 | 山东浪潮通软信息科技有限公司 | Sharing management method, system and system construction method supporting fixed assets |
| JP7043691B1 (en) * | 2021-06-09 | 2022-03-30 | 株式会社ゼロボード | Information processing equipment |
| CN113487118A (en) * | 2021-08-20 | 2021-10-08 | 广东电网有限责任公司 | Asset allocation system and method based on finance |
| CN117035687A (en) * | 2023-09-14 | 2023-11-10 | 国家电网有限公司华北分部 | Power grid business fixed asset process configuration method, system and computer storage medium |
| CN117291729A (en) * | 2023-11-27 | 2023-12-26 | 深圳市易图资讯股份有限公司 | Fixed asset investment management big data information system |
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